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FastGPT

AI agent building platform with knowledge bases and visual workflow orchestration, for teams shipping retrieval backed assistants without writing glue code.

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FastGPT is a platform for building AI agents, bundling document processing, retrieval and model calls so a team can assemble an assistant over its own material instead of joining those pieces together by hand.

Applications are composed in a visual Flow editor, where conversation workflows and plugin workflows are wired from nodes, including basic RPA steps, user interaction points and two way MCP. Knowledge bases sit underneath, feeding answers with citations the operator can inspect.

The feature set is organized around building, debugging and running an assistant.

  • Knowledge bases: multiple libraries reused and mixed, hybrid retrieval with reranking, and an API backed knowledge base.
  • Ingestion: TXT, MD, HTML, PDF, Docx, PPTX, CSV and XLSX files, plus URL reading, manual entry, direct segmentation and QA split import.
  • Debugging: single point search tests, full call chain logs, editable and deletable citations, and application evaluation.
  • Operations: login free share windows, one click iframe embedding, unified conversation records with annotation, and application logs.

Self hosting runs through Docker Compose with a configuration script, reaching the interface on port 3000 with a default root account, and a Sealos one click deployment is documented as an alternative. A hosted cloud edition and a commercial edition exist for teams wanting deeper support. The repository uses the FastGPT Open Source License, which permits direct commercial use as a backend service but not offering it as SaaS.

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  • Stars


    29,591
  • Forks


    7,300
  • Last commit


    5 days ago
  • Repository age


    4 years
  • Version


    4.16.2
  • Repository


    labring/FastGPT

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